Conte Center for Computational Systems Genomics of Neuropsychiatric Phenotypes

孔特神经精神表型计算系统基因组学中心

• 批准号: 8531353
• 负责人: ANDREY RZHETSKY
• 金额: $ 197.01万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-22 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8531353
• 关键词: Adverse effects; Adverse event; Affect; Algorithms; Anxiety; Biological; Chromosome Mapping; Clinical; Communities; Complement; Complex; Computing Methodologies; Data; Databases; Diagnostic tests; Disease; Drug usage; Elements; Environmental Exposure; Environmental Risk Factor; Failure; Genes; Genetic; Genomics; Goals; Health; Human; Link; Literature; Maps; Mental Depression; Mental Health; Methods; Mining; Modeling; Molecular; Molecular Probes; Neurologic; Pathway interactions; Pattern; Pharmaceutical Preparations; Pharmacology; Phenotype; Physicians; Population; Proteins; Publishing; Research; Schizophrenia; Science; Symptoms; System; Testing; Time; Variant; analytical tool; design; disorder risk; gene environment interaction; genetic association; multiple drug use; neuropsychiatry; novel; population based; response; success; text searching

DESCRIPTION (provided by applicant): We aim to develop, test, and apply a drastically new computational methodology for the analysis of more than one complex phenotype at a time, with the goal of generating novel biological results. Specifically, we propose to design and validate a battery of novel analytical tools for the inference of causal relationships among human genomic variations, environmental factors, and more than one mental health phenotype, explicitly exploiting the genetic and environmental non-independence of complex (multigenic) disorders.

描述（由申请人提供）：我们的目标是开发、测试和应用一种全新的计算方法，用于一次分析多个复杂表型，以产生新颖的生物学结果。具体来说，我们建议设计和验证一系列新颖的分析工具，用于推断人类基因组变异、环境因素和多个心理健康表型之间的因果关系，明确利用复杂（多基因）的遗传和环境非独立性失调。